On the convergence of the DFP algorithm for unconstrained optimization when there are only two variables
نویسنده
چکیده
Let the DFP algorithm for unconstrained optimization be applied to an objective function that has continuous second derivatives and bounded level sets, where each line search nds the rst local minimum. It is proved that the calculated gradients are not bounded away from zero if there are only two variables. The new feature of this work is that there is no need for the objective function to be convex.
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ورودعنوان ژورنال:
- Math. Program.
دوره 87 شماره
صفحات -
تاریخ انتشار 2000